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- Gauss–Markov_process abstract "Gauss–Markov stochastic processes (named after Carl Friedrich Gauss and Andrey Markov) are stochastic processes that satisfy the requirements for both Gaussian processes and Markov processes. The stationary Gauss–Markov process is a very special case because it is unique, except for some trivial exceptions. Every Gauss–Markov process X(t) possesses the three following properties: If h(t) is a non-zero scalar function of t, then Z(t) = h(t)X(t) is also a Gauss–Markov process If f(t) is a non-decreasing scalar function of t, then Z(t) = X(f(t)) is also a Gauss–Markov process There exists a non-zero scalar function h(t) and a non-decreasing scalar function f(t) such that X(t) = h(t)W(f(t)), where W(t) is the standard Wiener process.Property (3) means that every Gauss–Markov process can be synthesized from the standard Wiener process (SWP).".
- Gauss–Markov_process wikiPageID "146285".
- Gauss–Markov_process wikiPageLength "2817".
- Gauss–Markov_process wikiPageOutDegree "14".
- Gauss–Markov_process wikiPageRevisionID "605533260".
- Gauss–Markov_process wikiPageWikiLink Andrey_Markov.
- Gauss–Markov_process wikiPageWikiLink Autocorrelation.
- Gauss–Markov_process wikiPageWikiLink Carl_Friedrich_Gauss.
- Gauss–Markov_process wikiPageWikiLink Category:Markov_processes.
- Gauss–Markov_process wikiPageWikiLink Cauchy_distribution.
- Gauss–Markov_process wikiPageWikiLink Gaussian_process.
- Gauss–Markov_process wikiPageWikiLink Gauss–Markov_theorem.
- Gauss–Markov_process wikiPageWikiLink Markov_process.
- Gauss–Markov_process wikiPageWikiLink Ornstein–Uhlenbeck_process.
- Gauss–Markov_process wikiPageWikiLink Spectral_density.
- Gauss–Markov_process wikiPageWikiLink Stochastic_process.
- Gauss–Markov_process wikiPageWikiLink Time_constant.
- Gauss–Markov_process wikiPageWikiLink Variance.
- Gauss–Markov_process wikiPageWikiLink Wiener_process.
- Gauss–Markov_process wikiPageWikiLinkText "Gauss–Markov process".
- Gauss–Markov_process wikiPageWikiLinkText "Gauss–Markov process".
- Gauss–Markov_process wikiPageUsesTemplate Template:Distinguish2.
- Gauss–Markov_process wikiPageUsesTemplate Template:Merge.
- Gauss–Markov_process wikiPageUsesTemplate Template:Probability-stub.
- Gauss–Markov_process wikiPageUsesTemplate Template:Reflist.
- Gauss–Markov_process subject Category:Markov_processes.
- Gauss–Markov_process hypernym Processes.
- Gauss–Markov_process type AnatomicalStructure.
- Gauss–Markov_process type Process.
- Gauss–Markov_process type Redirect.
- Gauss–Markov_process type Thing.
- Gauss–Markov_process comment "Gauss–Markov stochastic processes (named after Carl Friedrich Gauss and Andrey Markov) are stochastic processes that satisfy the requirements for both Gaussian processes and Markov processes. The stationary Gauss–Markov process is a very special case because it is unique, except for some trivial exceptions.".
- Gauss–Markov_process label "Gauss–Markov process".
- Gauss–Markov_process differentFrom Gauss–Markov_theorem.
- Gauss–Markov_process sameAs Q5527857.
- Gauss–Markov_process sameAs סטטיסטיקת_גאוס-מרקוב.
- Gauss–Markov_process sameAs m.012n2k.
- Gauss–Markov_process sameAs Prosés_Gauss-Markov.
- Gauss–Markov_process sameAs Q5527857.
- Gauss–Markov_process wasDerivedFrom Gauss–Markov_process?oldid=605533260.
- Gauss–Markov_process isPrimaryTopicOf Gauss–Markov_process.